JP2018005316A - Work record analysis reading system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide work scenes necessary for a supervision task, for example, from pictures taken for a long time.SOLUTION: A work record analysis reading system 10 includes: a sensor unit 102; a feature extraction unit 114; a work content determination unit 115; a picture imaging device 101; and a display generation unit. The sensor unit 102 detects work data. The feature extraction unit 114 extracts a feature amount from the work data measured by the sensor unit 102. A work content determination unit 115 determines whether a work is being done based on the feature amount extracted by the extraction feature unit 114. The picture imaging device 101 images a work record. The display generation unit has a display device 103 and a display content generation unit 117, and generates a time run indicating a work period based on the result of the determination obtained by the work content determination unit 115, and displays the time run. The display generation unit acquires a picture according to the work period from the picture of the work record and displays the picture, when the time run showing the work period is selected.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a work record analysis and browsing system, and more particularly to a technique effective for monitoring and searching for a work scene in a video shot by a surveillance camera or the like.

  As a technique for confirming whether the work performed by the worker is performed according to the manual, for example, a technique for confirming using a monitoring camera or the like is known. In this case, for example, the operator's action is detected and identified by photographing the worker's work with the monitoring camera and analyzing the photographed video.

  As this type of video analysis technology, for example, Patent Literature 1 and Non-Patent Literature 1 are known. In Patent Literature 1, a user identifier recorded on a portable device held by a user is associated with a user who is photographed with a camera, and a user's action photographed with a camera is associated with a device identifier or a user identifier. Describes that the behavior of the user in the store is tracked in association with information specifying the user.

  Non-Patent Document 1 describes that a person is detected from video captured by a camera, and the detected person is tracked to recognize an action.

Japanese Patent Laying-Open No. 2015-04194

OKI Technical View October 2014 / No.224 Vol.81 No.2 P42-P45

  The technique described in Patent Document 1 described above has a problem that only the behavior of the identified user is tracked, and detailed behavior cannot be recognized.

  In addition, video analysis according to Non-Patent Document 1 mainly includes large movements such as tracking a person's walking route, recognizing abnormal behavior, and counting people. Therefore, it is difficult to detect conditions other than large movements such as human motion and tracking. Therefore, depending on the work mode, there is a problem that it may not be possible to confirm whether or not work conditions other than the above-described large movements are manual work.

  An object of the present invention is to provide a technique capable of providing a work scene necessary for a supervisory work or the like from an image shot for a long time.

  The above and other objects and novel features of the present invention will be apparent from the description of this specification and the accompanying drawings.

  Of the inventions disclosed in the present application, the outline of typical ones will be briefly described as follows.

  That is, a typical work record analysis browsing system analyzes a work record video and provides a video to be extracted. The work record analysis browsing system includes a detection unit, a feature extraction unit, a work determination unit, a video shooting unit, and a display generation unit.

  The detection unit detects work data. The feature extraction unit extracts a feature amount from the work data detected by the detection unit. The work determination unit determines whether the work is in progress based on the feature amount extracted by the feature extraction unit. The video shooting unit takes a work record. The display generation unit generates and displays a time run indicating a work period and a non-working period in time series based on the determination result determined by the work determination unit.

  In addition, when the time run indicating the work period is selected, the display generation unit acquires and displays a video corresponding to the work period from the video of the work record taken by the video photographing unit.

  In particular, the work determination unit determines whether the work is in progress based on the similarity between the feature amount extracted by the feature extraction unit and the standard feature amount. The standard feature quantity is a feature quantity extracted from a standard work (standard process) in which work is standardized.

  Further, the work data detected by the detection unit is at least temperature data. The feature extraction unit performs frequency analysis on the temperature data detected by the detection unit and extracts a feature amount. The work determination unit determines whether the work is in progress based on the similarity between the feature quantity extracted by the feature extraction unit and the standard feature quantity. The standard feature amount is a feature amount extracted from the standard work in which the work is standardized, and is extracted by frequency analysis of temperature data detected by the detection unit in the standard work.

  Among the inventions disclosed in the present application, effects obtained by typical ones will be briefly described as follows.

  (1) A video scene required for work confirmation can be easily browsed.

  (2) According to the above (1), the efficiency of the supervisory work can be improved.

It is explanatory drawing which shows an example of a structure in the work record analysis browsing system by one embodiment. It is explanatory drawing which shows the other structural example in the work record analysis browsing system of FIG. It is explanatory drawing which showed an example of the detection information stored in the memory | storage device of FIG. It is explanatory drawing which shows an example of the work information accumulate | stored in the work information storage part of FIG. It is a flowchart which shows an example of the operation | movement by the work record analysis browsing system of FIG. It is explanatory drawing which shows an example of the viewer screen which the display content generation part of FIG. 2 produced | generated. It is explanatory drawing which shows the other example in the viewer screen of FIG. It is explanatory drawing which shows the other example in the viewer screen of FIG.

  In the following embodiments, when it is necessary for the sake of convenience, the description will be divided into a plurality of sections or embodiments. However, unless otherwise specified, they are not irrelevant to each other. There are some or all of the modifications, details, supplementary explanations, and the like.

  Further, in the following embodiments, when referring to the number of elements (including the number, numerical value, quantity, range, etc.), especially when clearly indicated and when clearly limited to a specific number in principle, etc. Except, it is not limited to the specific number, and may be more or less than the specific number.

  Further, in the following embodiments, the constituent elements (including element steps and the like) are not necessarily indispensable unless otherwise specified and apparently essential in principle. Needless to say.

  Similarly, in the following embodiments, when referring to the shape, positional relationship, etc. of components, etc., the shape of the component is substantially the case unless it is clearly specified and the case where it is clearly not apparent in principle. And the like are included. The same applies to the above numerical values and ranges.

  In all the drawings for explaining the embodiments, the same members are denoted by the same reference symbols in principle, and the repeated explanation thereof is omitted.

  Hereinafter, embodiments will be described in detail.

<Configuration example of work record analysis browsing system>
FIG. 1 is an explanatory diagram illustrating an example of a configuration in a work record analysis browsing system 10 according to an embodiment.

  The work record analysis / viewing system 10 is a system that identifies the work content that the worker is working on and presents it so that the supervisor or the like can efficiently view the video being worked on. Although this work record analysis browsing system 10 can be applied to various work forms, here, as an example, it is assumed to be applied to work in a kitchen such as a restaurant. In this case, the work record analysis browsing system 10 records and analyzes the cooking operation of the cook and presents an image during cooking.

  As shown in FIG. 1, the work record analysis browsing system 10 has a configuration including a video imaging device 101, a sensor unit 102, a display device 103, and a video information analysis device 104. The video imaging device 101 that is a video imaging unit is, for example, a network camera or a digital camera. The video imaging device 101 is provided in various places in the cooking place, and takes pictures in the cooking place.

  The sensor unit 102 that is a detection unit is, for example, a temperature sensor. The temperature sensor is attached to a fryer, which is a cooking utensil for cooking pans and fried foods, and detects the temperature of the pan, the temperature of the fryer oil, and the like.

  In addition, as a sensor which comprises the sensor part 102, you may have a vibration sensor, a humidity sensor, or a sound collection microphone, for example. The vibration sensor is a sensor that detects vibration, and detects, for example, a tilt such as a pan.

  A humidity sensor is a sensor which detects humidity, for example, detects the humidity in a steamer, the humidity of a kitchen, etc. The sound collection microphone acquires the sound of the kitchen. The display device 103 is composed of a liquid crystal display, for example, and displays video data generated by a display content generation unit 117 described later. In addition, the display device 103 and the display content generation unit 117 constitute a display generation unit.

  The video information analysis device 104 analyzes the video acquired by the video shooting device 101 to determine the work content and reproduces the video being cooked.

  The video information analysis device 104 includes a video input unit 111, a video storage unit 112, a sensor data input unit 113, a feature extraction unit 114, a work content determination unit 115, a work information storage unit 116, a display content generation unit 117, and a learned version. A data storage unit 118 is included.

  The image input unit 111 receives image data captured by the image capturing apparatus 101. In the video data shot by the video shooting device 101, a shooting date and time is assigned to each frame constituting the video data. The video storage unit 112 stores the image data of the video shooting device 101 captured from the video input unit 111. The sensor data input unit 113 receives detection data detected by the sensor unit 102.

  The feature extraction unit 114 analyzes the detection data fetched from the sensor data input unit 113 and extracts feature amounts. This detection data becomes work data. When the sensor unit 102 is a temperature sensor, the feature extraction unit 114 extracts a feature amount from the temperature data detected by the temperature sensor.

  As the feature amount, for example, the minimum temperature or average temperature value per unit time of oil can be used. In addition, the time zone during cooking can be easily detected by using frequency analysis such as Fourier transform or wavelet transform.

  For example, when food is introduced into the fryer during frying cooking, the temperature of the oil drops significantly and then rises again to maintain a temperature suitable for the fried food. When such a temperature change is subjected to frequency analysis, a high frequency component is obtained, and this high frequency component is extracted as a feature amount. Note that the feature amount extraction described above is an example, and the present invention is not limited to this.

  The work content determination unit 115 determines the work content by comparing the feature amount extracted by the feature extraction unit 114 with the learned feature amount stored in the learned data storage unit 118. Specifically, based on the similarity between the high-frequency component extracted by the above-described frequency analysis and the learned feature amount, the work content such as whether cooking is in progress is determined. This learned feature amount is a standard feature amount.

  The learned data accumulation unit 118 accumulates learned feature data. The learned feature quantity data includes a learned feature quantity and work contents corresponding to the learned feature quantity. The learned feature amount is a feature amount extracted from temperature data obtained by exemplary cooking, in other words, manual cooking. The work content represents work content corresponding to the feature amount.

  The work information storage unit 116 stores the work content determined by the work content determination unit 115 as work information. The display content generation unit 117 generates the video data stored in the video storage unit 112 and the work content associated with the video data in a viewer format, for example, and outputs the generated data to the display device 103.

<Application example of video search system>
Next, an application example of the work record analysis browsing system 10 in FIG. 1 will be described.

  FIG. 2 is an explanatory diagram showing another configuration example of the work record analysis browsing system 10 of FIG.

  FIG. 2 shows an example in which the video information analysis apparatus 104 included in the work record analysis browsing system 10 of FIG. 1 is configured by applying a personal computer which is a computer.

  The video photographing device 101, the sensor unit 102, and the display device 103 in FIG. 2 are the same as those in FIG.

  In FIG. 2, the video information analysis device 104 is a computer such as a general personal computer as described above, and includes a processor 150, a main memory 151, a video input interface 152, a sensor information input interface 153, an output interface 154, and a storage. Device 155. These are configured to be connected to each other by a bus B or the like.

  The processor 150 executes a program stored in the main memory 151. The main memory 151 includes a semiconductor memory exemplified by a flash memory, for example, and stores a program executed by the processor 150 and data referred to by the processor 150.

  Specifically, at least a part of the program and data stored in the storage device 155 is copied to the main memory 151 as necessary. The video input interface 152 is an interface for acquiring video data, and is connected to the video shooting apparatus 101.

  The sensor information input interface 153 is an interface for acquiring sensor information detected by the sensor unit 102, and is connected to the sensor unit 102. The output interface 154 is an interface that outputs a screen to be displayed on the display device 103.

  The storage device 155 is a non-volatile storage device such as a hard disk device (HDD) or a flash memory. The storage device 155 in FIG. 2 stores at least software in a program format for executing the functions of the feature extraction unit 114, the work content determination unit 115, and the display content generation unit 117 in FIG.

  The storage device 155 has a data storage area. The data storage area includes video data stored in the video storage unit 112 in FIG. 1, data stored in the work information storage unit 116 in FIG. 1, data stored in the learned data storage unit 118 in FIG. And the detection information mentioned later is stored, respectively.

  The programs that execute the functions of the feature extraction unit 114, the work content determination unit 115, and the display content generation unit 117 described above are programs executed by the processor 150.

  In the following description, processing executed by each of these functions is executed by the processor 150.

<Data example>
FIG. 3 is an explanatory diagram showing an example of detection information stored in the storage device 155 of FIG.

  FIG. 3 shows a data format when the detection data detected by the sensor unit 102 is stored in the storage device 155.

  As described above, the sensor unit 102 includes a temperature sensor provided in, for example, a fryer that is a cooking utensil, and detects the temperature of the fryer oil as detection data. The temperature of the oil detected by the sensor unit 102 is periodically acquired by the processor 150 at certain intervals.

  Here, an example is shown in which the processor 150 detects the oil temperature every second. The temperature detection interval is not particularly limited, and may be a different interval such as every 5 seconds.

  The processor 150 stores, in the storage device 155, detection information obtained by adding a detection time when the temperature is detected to the obtained oil temperature in the data format shown in FIG.

  FIG. 4 is an explanatory diagram showing an example of work information stored in the work information storage unit 116 of FIG.

  As shown in FIG. 4, the work information stored in the work information storage unit 116 includes date and time and work contents. The work content is the work content determined by the work content determination unit 115 in FIG. 2, and is stored by numbers such as “0”, “1”, “2”, for example.

  In the case of FIG. 4, the work content “0” indicates “no work”, which indicates that the fryer is turned off and the temperature of the oil is not increased. The work content “1” indicates “cooking”. In other words, it shows that cooking is being done using a fryer. The work content “2” indicates “warming”. This shows that the fryer oil is kept warm without cooking the fried food.

<Operation example of video search system>
Next, the operation of the work record analysis browsing system 10 in FIG. 2 will be described.

  FIG. 5 is a flowchart showing an example of operation by the work record analysis browsing system 10 of FIG.

  First, the temperature data acquired by the sensor unit 102 is acquired through the sensor information input interface 153 (step S101). The acquired temperature data is stored in the storage device 155 in the format shown in FIG. Also, shooting data shot by the video shooting device 101 is stored in the video storage unit 112. Here, the stored temperature data and photographing data are, for example, from the opening to closing of a restaurant.

  Subsequently, feature amount extraction processing by the feature extraction unit 114 is executed (step S102). In the feature amount extraction process, the feature amount is extracted from the temperature data stored in the video storage unit 112 as described above.

  Then, work content determination processing by the work content determination unit 115 is executed (step S103). In this work content determination process, the feature amount extracted by the feature extraction unit 114 and the learned feature amount data stored in the learned data storage unit 118 are compared, and the work content is determined based on the similarity. For example, when the extracted feature amount is similar to the learned data storage unit 118 of the work content “1”, it is determined that cooking is in progress.

  The work content determination unit 115 stores the determined work content and date and time as work information in the work information storage unit 116. The date and time in the work information is from the beginning of the change of the feature quantity to just before the start of the next feature quantity. As a result, the work information shown in FIG.

  Subsequently, the display content generation unit 117 generates display content (step S104). The display content generation unit 117 takes in the work information stored in the work information storage unit 116, generates the viewer screen 200 of FIG. 6 based on the work information, and outputs it to the display device 103 of FIG. As a result, the viewer screen 200 generated by the display content generation unit 117 is displayed on the display device 103.

<Viewer screen display example>
FIG. 6 is an explanatory diagram illustrating an example of the viewer screen 200 generated by the display content generation unit 117 of FIG. FIG. 6 shows an example when the display device 103 of FIG. 2 displays the viewer screen 200 generated by the display content generation unit 117.

  As shown in FIG. 6, the viewer screen 200 is provided with a video display unit 201 that displays a video shot by the video camera 101 at the upper left, and a timeline 202 is displayed at the bottom of the viewer screen 200. Yes.

  The timeline 202 shows work contents in time series, and is generated based on the work contents and the date / time of the work information stored in the work information storage unit 116. Thereby, it is displayed so that the change of work contents and the changed time can be visually confirmed.

  In the timeline 202 of FIG. 6, the white portion indicates the work content “0”, that is, the state of not working, and the portion indicated by a dot indicates the work content “2”, that is, the oil is warm. It shows that there is. Also, the black portion indicates the work content “1”, that is, cooking is in progress.

  The display of the work content in the timeline 202 is not limited to this, and it is only necessary to confirm that the work content has changed. For example, the display color may be changed for each work content, or the work content may be displayed with a contrast.

  When the supervisor or the like wants to check the video being cooked, the user clicks and selects the black top portion of the timeline 202 indicating that the work content is cooking with the mouse or the like. When the timeline 202 is clicked with a mouse or the like, the display content generation unit 117 searches the video storage unit 112 for a frame to which a date and time that matches the date and time of the work content selected by clicking is searched. Video playback starts from the frame.

  As a result, an image from the time when cooking is started is displayed on the image display unit 201. Here, since the click position on the timeline 202 is arbitrary, the display content generation unit 117 searches the video storage unit 112 for a frame that matches the date and time of the selected timeline 202 and starts playback of the video.

  It is difficult in terms of time to confirm all the images from the opening and closing of the restaurant, and a great deal of labor is required just for searching for only the images being cooked from the images.

  However, in the work record analysis browsing system 10, as described above, it is possible to easily confirm whether or not the image is being cooked simply by visually confirming the timeline 202 displayed on the display device 103. .

  Thereby, the image | video which is cooking efficiently in a short time can be reproduced | regenerated. Therefore, it is possible to efficiently check whether the cook is performing cooking along the standard process, which is a standard operation defined in the manual by the supervisor.

  In addition, since any video can be easily browsed by designating the timeline 202, it can be easily reproduced and browsed regardless of the video during cooking or other than cooking.

<Other display examples on the viewer screen>
FIG. 7 is an explanatory diagram showing another example of the viewer screen 200 of FIG.

  The viewer screen 200 of FIG. 7 has a configuration in which a temperature display unit 203 is newly provided in the viewer screen 200 of FIG. The temperature display unit 203 is a screen on which the oil temperature is displayed as a line graph in time series corresponding to the timeline 202. This line graph is generated by the display content generation unit 117 based on the detection information stored in the storage device 155 of FIG.

  In addition, the line graph displayed on the temperature display unit 203 is shown to be linked to the video displayed on the video display unit 201. When the supervisor or the like designates the position of an arbitrary line graph with a mouse or the like, the display content generation unit 117 searches the video storage unit 112 for a frame having a date and time that matches the date and time of the designated position. Video playback starts from the frame.

  For example, if you want to check the cooking video when the temperature of the oil being cooked falls below the temperature set in the standard process such as a manual (hereinafter referred to as the lower limit temperature), use the mouse to display the corresponding line graph. Select a position. Thereby, an image from a scene where the temperature of the oil falls below the lower limit temperature is reproduced on the image display unit 201. This makes it possible to easily check the cooking time and the temperature of the oil being cooked.

  When cooking with a fryer, the heating time of the ingredients may affect the taste and the like. For example, when the food is added, the temperature of the oil falls below the lower limit temperature described above, or the frying time of the food is not according to the standard stroke.

  As described above, the work record analysis browsing system 10 can easily provide a video of the cooking process to a supervisor or the like in a short time. Therefore, the supervisor can efficiently browse the image being cooked. With these, the skill of the person in charge of cooking can be further improved.

  FIG. 8 is an explanatory diagram showing another example of the viewer screen 200 of FIG.

  The viewer screen 200 shown in FIG. 8 has a configuration in which an alert display unit 204 is newly provided in the viewer screen 200 of FIG. FIG. 8 shows an example in which the alert display unit 204 is provided on the right side of the video display unit 201.

  This alert display unit 204 is displayed when the cooking conditions of the standard process specified in the manual or the like are violated. The cooking conditions are stored in advance in the learned data storage unit 118, for example.

  Then, when the work content determination unit 115 determines that the work content is being cooked, a cooking process contrary to the cooking condition is performed based on the cooking condition stored in the learned data storage unit 118. It is determined whether or not.

  The cooking conditions are, for example, the lower limit temperature of oil and the frying time of ingredients. For example, the work content determination unit 115 may detect that the temperature of oil during cooking falls below the lower limit temperature set in the cooking conditions, the frying time is shorter than the cooking conditions, or the frying time is longer than the cooking conditions. judge.

  Then, when the work content determination unit 115 determines that the cooking process contrary to the cooking conditions is being performed, the work content determination unit 115 outputs the determination result and the content of the alert to the work information storage unit 116. The display content generation unit 117 generates the viewer screen 200 so that the alert content is displayed on the alert display unit 204 based on the alert content stored in the work information storage unit 116.

  Thereby, the cooking process etc. which are contrary to a manual can be confirmed more easily, the variation by a cook can be reduced, and a uniform taste etc. can be implement | achieved.

  As described above, an image during cooking can be easily confirmed. Thereby, the convenience of the supervisor etc. who confirm cooking of a cook can be improved. The efficiency of supervisory monitoring work can be further improved.

  Although FIG. 8 shows an example in which the temperature of the oil is detected by the sensor unit 102, the sensor unit 102 may be attached to another cooking utensil such as a frying pan.

  For example, when a temperature sensor is attached as a sensor unit 102 to a frying pan for cooking fried food, it is possible to determine the time when the food is put into the frying pan based on the temperature drop of the frying pan during cooking.

  Further, when a vibration sensor is attached to the frying pan as the sensor unit 102 in addition to the temperature sensor, it is possible to determine the number of times the pan is tilted and the period during frying. Cooking of the fried food can be determined from the temperature detected by the temperature sensor and the number of tilts detected by the vibration sensor.

  In addition, during cooking, it is possible to acquire the time from when the ingredients are put into the frying pan to when the ingredients are fried. By setting the number of times of pan frying or the time of frying when cooking the stir-fried food in the cooking conditions, the counter-work content determination unit 115 can determine whether or not the fried food is cooked according to the cooking conditions. .

  The alert display unit 204 can also display an alert when the number of times the pan is tilted is less than the cooking condition, or when the fried time is longer or shorter than the cooking condition.

  Also by this, it is possible to provide the work record analysis browsing system 10 that allows the supervisor to easily browse cooking images that may not be cooked according to the manual.

  As mentioned above, the invention made by the present inventor has been specifically described based on the embodiment. However, the present invention is not limited to the embodiment, and various modifications can be made without departing from the scope of the invention. Needless to say.

  In addition, this invention is not limited to above-described embodiment, Various modifications are included. For example, the above-described embodiment has been described in detail for easy understanding of the present invention, and is not necessarily limited to one having all the configurations described.

  Further, a part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment. . In addition, it is possible to add, delete, and replace other configurations for a part of the configuration of each embodiment.

DESCRIPTION OF SYMBOLS 10 Work record analysis browsing system 101 Image | video imaging device 102 Sensor part 103 Display apparatus 104 Image | video information analysis apparatus 111 Image | video input part 112 Image | video storage part 113 Sensor data input part 114 Feature extraction part 115 Work content determination part 116 Work information storage part 117 Display Content generation unit 118 Learned data storage unit 150 Processor 151 Main memory 152 Video input interface 153 Sensor information input interface 154 Output interface 155 Storage device 200 Viewer screen 201 Video display unit 202 Timeline 203 Temperature display unit 204 Alert display unit B bus

Claims (9)

A work record analysis browsing system that analyzes work record video and provides a video to be extracted,
A detection unit for detecting work data;
A feature extraction unit for extracting feature amounts from the work data detected by the detection unit;
A work discriminating unit for discriminating whether or not the work is in progress based on the feature amount extracted by the feature extracting unit;
A video shooting unit for shooting the work record;
Based on the determination result determined by the work determination unit, a display generation unit that generates and displays a time run indicating a work period and a period in which work is not performed in time series, and
Have
The display generation unit obtains and displays a video corresponding to the work period from the video of the work record taken by the video photographing unit when the time run indicating the work period is selected. Browsing system. In the work record analysis browsing system according to claim 1,
The work determination unit determines whether the work is in progress based on the similarity between the feature amount extracted by the feature extraction unit and the standard feature amount acquired in advance.
The work record analysis browsing system, wherein the standard feature is a feature extracted from a standard work in which work is standardized. In the work record analysis browsing system according to claim 1 or 2,
The work record analysis browsing system, wherein the feature extraction unit extracts the feature amount by performing frequency analysis on the work data detected by the detection unit. In the work record analysis browsing system according to any one of claims 1 to 3,
The work record analysis browsing system, wherein the display generation unit displays work data detected by the detection unit in correspondence with the time run. In the work record analysis browsing system according to any one of claims 1 to 4,
The display generation unit outputs an alert when the work data detected by the detection unit falls outside a preset standard work data range during a period when the work determination unit determines that the work is being performed. , Work record analysis browsing system. In the work record analysis browsing system according to claim 1,
A work record analysis browsing system, wherein the work data detected by the detector is at least temperature data. In the work record analysis browsing system according to claim 6,
The feature extraction unit extracts the feature amount by performing frequency analysis on the temperature data detected by the detection unit,
The work determination unit determines whether the work is in progress based on the similarity between the feature amount extracted by the feature extraction unit and a standard feature amount,
The work record analysis browsing system, wherein the standard feature value is a feature value extracted from a standard work in which work is standardized, and is extracted by frequency analysis of temperature data detected by the detection unit in the standard work. In the work record analysis browsing system according to claim 6 or 7,
The said display production | generation part is a work record analysis browsing system which displays the temperature data which the said detection part detected corresponding to the said time run. In the work record analysis browsing system according to any one of claims 6 to 8,
The display generation unit outputs an alert when the temperature data detected by the detection unit falls outside the range of preset temperature condition data during the period when the operation determination unit determines that the operation is in progress. , Work record analysis browsing system.

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